Breaking News
Tell General Mills To Reject GMO Wheat!
Climate Scientists declare the climate "emergency" is over
Trump's Cabinet is Officially Complete - Meet the Team Ready to Make America Great Again
Former Polish Minister: At Least Half of US Aid Was Laundered by Ukrainians...
Top Tech News
Forget Houston. This Space Balloon Will Launch You to the Edge of the Cosmos From a Floating...
SpaceX and NASA show off how Starship will help astronauts land on the moon (images)
How aged cells in one organ can cause a cascade of organ failure
World's most advanced hypergravity facility is now open for business
New Low-Carbon Concrete Outperforms Today's Highway Material While Cutting Costs in Minnesota
Spinning fusion fuel for efficiency and Burn Tritium Ten Times More Efficiently
Rocket plane makes first civil supersonic flight since Concorde
Muscle-powered mechanism desalinates up to 8 liters of seawater per hour
Student-built rocket breaks space altitude record as it hits hypersonic speeds
Researchers discover revolutionary material that could shatter limits of traditional solar panels
At least 16 companies developing Deep Learning chips
Google and Wave Computing have working silicon and are conducting customer trials.
* Wave Computing says its 3U deep learning server can train AlexNet in 40 minutes, three times faster than NVIDIA's P100 DGX-1 server.
* Wave Computing's claim that its TPU is 1000 times faster.
* NVIDIA has improved the architectural efficiency of its GPUs by roughly 10x over the last few years
Chinese AI chip startup has received $100 million in funding.
Cambricon Technologies aims to have one billion smart devices using its AI processor and own 30% of China's high-performance AI chip market in three years.
Huawei estimates Cambricon chips are six times faster for deep-learning applications like training algorithms to identify images than a GPU.